Extracting diagnostic gait signatures for cerebral palsy patients

Lakany, H. (2003) Extracting diagnostic gait signatures for cerebral palsy patients. Gait and Posture, 18 (Supple). p. 31. ISSN 0966-6362

Abstract

This research addresses the question of the existence of prominent diagnostic signatures for human walking extracted from kinematics gait data. The proposed method is based on transforming the joint motion trajectories using wavelets to extract spatio-temporal features which are then fed as input to a vector quantiser; a self-organising map for classification of walking patterns of individuals with and without pathology. We show that our proposed algorithm is successful in extracting features that successfully discriminate between individuals with and without locomotion impairment.

ORCID iDs

Lakany, H. ORCID: https://orcid.org/0000-0003-3079-0392

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  Item type:	Article
  ID code:	8259
  Dates:	Date Event October 2003 Published
  Notes:	ESMAC Abstracts. Gait & Posture. Volume 18, Supplement 2, October 2003, Pages 80-123
  Keywords:	human locomotion, gait analysis, feature extraction, self-organising maps, diagnostic signatures, Bioengineering, Rehabilitation, Orthopedics and Sports Medicine, Biophysics, SDG 3 - Good Health and Well-being
  Subjects:	Technology > Engineering (General). Civil engineering (General) > Bioengineering
  Department:	Faculty of Engineering > Bioengineering
  Depositing user:	Strathprints Administrator
  Date deposited:	05 Aug 2009 13:39
  Last modified:	15 Sep 2021 16:19
  Related URLs:	http://dx.doi.org/10.1016/j.patcog.2007.... Publisher
  URI:	https://strathprints.strath.ac.uk/id/eprint/8259